| Description |
1 online resource (xxii, 215 pages) : illustrations (some color) |
| Series |
Lecture notes in computer science, 0302-9743 ; 6798. Lecture notes in artificial intelligence |
|
LNCS sublibrary. SL 7, Artificial intelligence |
|
Lecture notes in computer science ; 6798. 0302-9743
|
|
Lecture notes in computer science. Lecture notes in artificial intelligence
|
|
LNCS sublibrary. SL 7, Artificial intelligence.
|
| Summary |
Annotation The Hybrid Deliberative Layer (HDL) solves the problem that an intelligent agent faces in dealing with a large amount of information which may or may not be useful in generating a plan to achieve a goal. The information, that an agent may need, is acquired and stored in the DL model. Thus, the HDL is used as the main knowledge base system for the agent. In this work, a novel approach which amalgamates Description Logic (DL) reasoning with Hierarchical Task Network (HTN) planning is introduced. An analysis of the performance of the approach has been conducted and the results show that this approach yields significantly smaller planning problem descriptions than those generated by current representations in HTN planning |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Robotics.
|
|
Informatique.
|
|
Robotics
|
| Form |
Electronic book
|
| ISBN |
9783642225802 |
|
3642225802 |
|
